atomistics.workflows.evcurve.fit.get_error

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atomistics.workflows.evcurve.fit.get_error#

atomistics.workflows.evcurve.fit.get_error(x_lst: ndarray, y_lst: ndarray, p_fit) → float[source]#

Calculate the mean squared error between the observed and predicted values.

Parameters:

  • x_lst (np.ndarray) – Array of x values

  • y_lst (np.ndarray) – Array of observed y values

  • p_fit (np.poly1d) – Polynomial fit function

Returns:

Mean squared error

Return type:

float

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